I’m a Ph.D. student in the Computational Machine Learning Group at UCLA, under the supervision of Prof. Cho-Jui Hsieh. Previously, I was an M.S. student in the Machine Learning and Artificial Intelligence (MLAI) Lab at KAIST AI, supervised by Prof. Sung Ju Hwang.

My research aims to make (multimodal) large language models more reliable, efficient, and adaptable when reasoning over real-world information. I focus on enabling models to strategically think and incorporate external knowledge to better interact with complex environments across different modalities.

My current research focuses include:

• Reasoning-Centric (M)LLMs: Improving how models engage in effective and trustworthy reasoning within dynamic contexts.
• Search-Augmented Intelligence: Developing methods that enable models to leverage external information for more accurate and grounded intelligence.
• Efficient Learning and Optimization: Designing general methodologies that enable (M)LLMs to learn, adapt, and reason efficiently without compromising reliability or depth.
• Robust Multimodal Generalization: Developing methods that allow multimodal models to reliably generalize over information within complex and unpredictable real-world environments.